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  Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models

Yue, Y., Feng, L., Meuris, P., Schoenmaker, W., & Benner, P. (2015). Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015) (pp. 379-384).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-E3FA-F Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-9FEA-B
Genre: Conference Paper

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 Creators:
Yue, Yao1, Author              
Feng, Lihong1, Author              
Meuris, Peter2, Author
Schoenmaker, Wim2, Author
Benner, Peter1, Author              
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2MAGWEL NV, Martelarenplein 13, Leuven B-3000, Belgium, ou_persistent22              

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 Dates: 2015
 Publication Status: Published in print
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 Rev. Method: Peer
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Title: 36th Progress In Electromagnetics Research Symposium
Place of Event: Prague, Czech Republic
Start-/End Date: 2015-07-06 - 2015-07-09

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Project name : nanoCOPS - Nanoelectronic COupled Problems Solutions
Grant ID : 619166
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 379 - 384 Identifier: -